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Time-of-day effects on engagement with social media content

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TitleInfo
Title
Time-of-day effects on engagement with social media content
Name (type = personal)
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Zor
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Ozum
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1988
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Ozum Zor
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author
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Monga
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Ashwani
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Ashwani Monga
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Advisory Committee
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chair
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Kim
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Kihyun Hannah
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Kihyun Hannah Kim
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Advisory Committee
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co-chair
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Durante
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Kristina
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Kristina Durante
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Advisory Committee
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internal member
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Bagchi
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Rajesh
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Rajesh Bagchi
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Advisory Committee
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outside member
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Rutgers University
Role
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degree grantor
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NamePart
Graduate School - Newark
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school
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Text
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theses
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External ETD doctoral
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2020
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2020-10
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English
Abstract
On Twitter, and other social media platforms, consumers are increasingly engaging with online information. The use of social media for networking is about to be overthrown by another motivation: seeking updates on recent events and news. While the marketing literature has paid attention to some types of content differences, there is little research on which content is better to release when. My dissertation aims to address this gap by examining two types of content that have not previously been studied in social media research—vice versus virtue content, and high-construal versus low-construal content—and showing that there is an asymmetry in how consumers engage in these types of content through the day.

In essay 1, I compare vice content, which promises immediate gratification (e.g., related to celebrities and scandals), to virtue content, which is beneficial in the long run (e.g., related to health and economy). I argue that vice and virtue information attract differential levels of consumer engagement (e.g., number of likes on Twitter), depending on the time of day at which consumers are exposed to the information. My argument is based on the premise that people have high self-control early in the morning, which then prone to fail toward the evening. Consequently, virtue (vs. vice) content fits relatively better in the morning, with a trend toward the reverse as the day progresses. Seven studies—five experiments and two studies using large-scale Twitter datasets—demonstrate that as the day turns from morning to evening, there is a shift in engagement away from virtue content and toward vice content.

In essay 2, I focus on construal that arises due to geographical distance and examine its role in the context of engaging with information. I compare high-construal content (e.g., international news), to low-construal content (e.g., local news). I argue that high-construal content and low-construal content messages attract differential levels of consumer engagement (e.g., number of likes on Twitter), depending on the time of day at which consumers are exposed to the message. Consequently, high-construal (vs. low-construal) messages fit relatively better in the morning, with a trend toward the reverse as the day progresses. Two studies—a study using large-scale Twitter dataset and an experiment—demonstrate that as the day turns from morning to evening, there is a shift in engagement away from high-construal content and toward low-construal content.

These two essays afford implications for theory (e.g., vice vs. virtue, and high vs. low construal) because I present new insights into how these dichotomies influence engagement with social media during the day. Implications also arise for practice, as managers can better decide which content to post when, in order to maximize the engagement of their customers.
Subject (authority = local)
Topic
Time of day
Subject (authority = RUETD)
Topic
Management
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Rutgers University Electronic Theses and Dissertations
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ETD_10972
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application/pdf
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text/xml
Extent
1 online resource (ix, 129 pages)
Note (type = degree)
Ph.D.
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Includes bibliographical references
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Graduate School - Newark Electronic Theses and Dissertations
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rucore10002600001
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Identifier (type = doi)
doi:10.7282/t3-f1n5-wm74
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Rights

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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
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Zor
GivenName
Ozum
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Copyright Holder
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Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2020-05-20 16:19:49
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Name
Ozum Zor
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Affiliation
Rutgers University. Graduate School - Newark
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Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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Type
Embargo
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2020-10-31
DateTime (encoding = w3cdtf); (qualifier = exact); (point = end)
2022-10-31
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after October 31st, 2022.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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2020-05-20T22:48:37
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